ZIP 35459 Property Distress & Foreclosure Data

ZIP code 35459 in Sumter County, Alabama carries a composite property-distress score of 25/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: FEMA disaster exposure (83/100). What sets it apart are the readings on construction/permit lag (100/100), structural risk (56/100), institutional ownership (45/100). By contrast, mortgage stress (21/100) register low. Structural risk reads 56/100 against active distress of 6/100.

The market reads peak — home values rose 4.2% year on year, at 38/100 phase confidence. Topping markets hide individual distress behind strong averages.

Home values center near $97,800, an affordability ratio of 1.6× — accessible. Owners hold 81% of homes, renters 19%. Vacancy runs 28.1%, above the national norm and a classic distress-and-opportunity signal. 15.8% of residents fall below the poverty threshold. Rent burden reaches 0% of tenant households. Median household income is $40,000, below the U.S. median near $78,000. About 701 people live here, median age 65. There are about 495 housing units across 35459. Educational attainment sits at 12% bachelor's-or-above. DLRadar's demographic-stress index for the area reads 22/100.

Net-net, 35459 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

25/100
Composite stress
56/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 35459

Foreclosure activity0
Mortgage stress21
Climate / FEMA risk44
+9 more distress dimensions scored for this ZIP

Tax delinquency, institutional ownership, insurance pressure, NFIP/flood, construction lag, price dislocation and auction velocity — plus the 0 individual distressed properties (owner, address, APN, per-property score and exit read) are in the full DLRadar report.

Nearby ZIPs in Sumter County

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Deterministic. Every signal traces to a public dataset · methodology